This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Magnum v4 72B vs Z.ai: GLM 4.5V
Z.ai: GLM 4.5V wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understandin…
Model details →Side-by-side comparison
| Capability | Magnum v4 72B | Z.ai: GLM 4.5V | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 33K | 66K | 🏆 Z.ai: GLM 4.5V |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $2.50 | $0.60 | 🏆 Z.ai: GLM 4.5V |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $1.80 | 🏆 Z.ai: GLM 4.5V |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Z.ai: GLM 4.5V |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Z.ai: GLM 4.5V |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Z.ai: GLM 4.5V |
Frequently asked questions
Is Magnum v4 72B better than Z.ai: GLM 4.5V?
Z.ai: GLM 4.5V wins on 6 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Magnum v4 72B and Z.ai: GLM 4.5V?
Input: $2.50 vs $0.60 per 1M tokens. Output: $5.00 vs $1.80 per 1M tokens.
What context windows do Magnum v4 72B and Z.ai: GLM 4.5V support?
Magnum v4 72B supports up to 33K tokens. Z.ai: GLM 4.5V supports up to 66K tokens.
Do both Magnum v4 72B and Z.ai: GLM 4.5V support tool calling?
Magnum v4 72B: not advertised. Z.ai: GLM 4.5V: yes.